Spreadsheet Errors Nm
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This document discusses common spreadsheet errors: 1) Copying and pasting incorrect data from multiple spreadsheets without thorough checking due to time constraints. 2) Updating column names and formulas in a pivot table incorrectly, resulting in wrong formulas. 3) Developing different parts of a complex model independently without proper documentation, leading to incorrect combined results. 3) Developing a model without understanding all relevant variables from different groups, missing important data.
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We have taught a suite of inquiry-based learning modules for the past 20 years. Two problems that have occurred frequently are that the students can be poor at organising their schedules and setting deadlines, whilst at the same time we have moved towards marking schemes which are focused on process applied rather than product produced. These two factors have mandated that the students need to provide evidence that they are planning and following the process that has been set. To support this we have introduced a suite of custom support software.Dice.com Bay Area Search - Beyond Learning to Rank Talk
Dice.com Bay Area Search - Beyond Learning to Rank TalkSimon Hughes
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This talk describes how to implement conceptual search (semantic search) within a modern search engine using the word2vec algorithm to learn concepts. We also cover how to auto-tune the search engine parameters using black box optimization techniques, and the problems of feedback loops encountered when building machine learning systems that modify the user behavior used to train the system.Input modeling
Input modelingDe La Salle University-Manila
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This document discusses input modeling for simulation and outlines 4 steps:
1) Collect data from the real system or use expert opinion if data is unavailable
2) Identify a probability distribution to represent the input process
3) Choose parameters for the distribution family by estimating from the data
4) Evaluate the chosen distribution through goodness of fit tests or create an empirical distribution if none is found5. ch 4-principles that guide practice
5. ch 4-principles that guide practiceDelowar hossain
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This document outlines several principles that should guide software engineering practices according to experts. It discusses principles for processes, modeling, construction, communication, planning, and deployment. Some key principles include being agile, focusing on quality, adapting when needed, building effective teams, managing risk and change, and testing software thoroughly. The document provides over 100 specific principles across different phases of software development.Mid-term presentation.pdf
Mid-term presentation.pdfZixunZhou
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The team presented their mid-term progress on their capstone project analyzing misinformation and disinformation campaigns online. They discussed their research on relevant platforms, data repositories, and scraping tools. They also reflected on challenges faced, preliminary findings discovered, and next steps which include further data analysis using tools like SBS and Tableau as well as exploring sentiment analysis and model training.2 crear formularios training presentation - create forms for a new database
2 crear formularios training presentation - create forms for a new databaseAula Cloud
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This document provides an overview and instructions for creating different types of forms in Microsoft Access 2010, including:
- Detail forms to view individual records
- Split forms that allow viewing and editing both individual records and large amounts of data
- Subforms to work with related one-to-many data
- Navigation forms to browse between different forms
It describes how to use the Form Wizard and Layout view to design forms and bind controls to underlying database tables or queries. The document also includes sample test questions to assess learning.Spreadsheet Errors Nm
- 1. Spreadsheet disasters Nipun Mathur April 4, 2010
- 2. Error #1 Scenario My boss asked me to perform a quick analysis for his meeting in 1 hour Problem Copy pasted data from different spreadsheets to get job done on time. Paster incorrect data, from miss- matching dates. Performed back of the envelope check but, no time to run extensive checks. Error type Mechanical error
- 3. Error #2 Scenario Performing analysis on data with many degrees of freedom requiring pivot table analysis. Problem Want to arrange analysis columns differently from pivot tables alphabetically ordered columns. Updated column names, applied formula to the 鍖rst column, and dragged formula to all other cells. Formulae now incorrect for columns. Error type Logic error
- 4. Error #3 Scenario Working on a complex model with a team of people over multiple weeks. Problem Each person developing different parts of the model. The assumptions made by different people are different and there is not enough documentation. When all parts are put together the 鍖nal model produces incorrect results. Error type Documentation and planning error
- 5. Error #4 Scenario Working on a accounting analysis consulting project, with unfamiliar data. Developed model without speaking with all groups involved. Problem Missed some variables that the model results depend on. Error type Data omission error
- 6. Error #5 Scenario Experienced analyst developing a routine model at the end of the day. Problem Misses data and doesnt perform sanity check because this is a routine task for him. Error type Overcon鍖dence